Google Exam Professional-Machine-Learning-Engineer Topic 2 Question 26 Discussion

Actual exam question for Google's Google Professional Machine Learning Engineer exam

Question #: 26
Topic #: 2

[All Google Professional Machine Learning Engineer Questions]

You are an ML engineer at a global car manufacturer. You need to build an ML model to predict car sales in different cities around the world. Which features or feature crosses should you use to train city-specific relationships between car type and number of sales?

AThree individual features binned latitude, binned longitude, and one-hot encoded car type

BOne feature obtained as an element-wise product between latitude, longitude, and car type

COne feature obtained as an element-wise product between binned latitude, binned longitude, and one-hot encoded car type

DTwo feature crosses as a element-wise product the first between binned latitude and one-hot encoded car type, and the second between binned longitude and one-hot encoded car type

Show Suggested Answer

Suggested Answer: C

by Gladys at May 03, 2022, 03:38 PM

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